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» The Foundations of Cost-Sensitive Learning
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STOC
2010
ACM
195views Algorithms» more  STOC 2010»
13 years 11 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...
C5
2008
IEEE
14 years 2 months ago
Toward A More Scalable End-User Scripting Language
End-user scripting languages are relatively easy to learn, but have limited expressive power. Tile-based scripting systems are particularly accessible to beginners, but usually ar...
Alessandro Warth, Takashi Yamamiya, Yoshiki Ohshim...
ICML
2008
IEEE
14 years 8 months ago
Dirichlet component analysis: feature extraction for compositional data
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
ICCS
1994
Springer
13 years 11 months ago
UDS: A Universal Data Structure
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
Robert Levinson
ECML
2006
Springer
13 years 11 months ago
Efficient Non-linear Control Through Neuroevolution
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...